A Survey of Website Phishing Detection Techniques

This article surveys the literature on website phishing detection. Web Phishing lures the user to interact with the fake website. The main objective of this attack is to steal the sensitive information from the user. The attacker creates similar website that looks like original website. It allows attacker to obtain sensitive information such as username, password, credit card details etc. This paper aims to survey many of the recently proposed website phishing detection techniques. A high-level overview of various types of phishing detection techniques is also presented

Strategies to access web-enabled urban spatial data for socioeconomic research using R functions

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10109-019-00309-ySince the introduction of the World Wide Web in the 1990s, available information for research purposes has increased exponentially, leading to a significant proliferation of research based on web-enabled data. Nowadays the use of internet-enabled databases, obtained by either primary data online surveys or secondary official and non-official registers, is common. However, information disposal varies depending on data category and country and specifically, the collection of microdata at low geographical level for urban analysis can be a challenge. The most common difficulties when working with secondary web-enabled data can be grouped into two categories: accessibility and availability problems. Accessibility problems are present when the data publication in the servers blocks or delays the download process, which becomes a tedious reiterative task that can produce errors in the construction of big databases. Availability problems usually arise when official agencies restrict access to the information for statistical confidentiality reasons. In order to overcome some of these problems, this paper presents different strategies based on URL parsing, PDF text extraction, and web scraping. A set of functions, which are available under a GPL-2 license, were built in an R package to specifically extract and organize databases at the municipality level (NUTS 5) in Spain for population, unemployment, vehicle fleet, and firm characteristicsThis work was supported by Spanish Ministry of Economics and Competitiveness (ECO2015-65758-P) and the Regional Government of Extremadura (Spain